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Dataset . 2022
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ZENODO
Dataset . 2022
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2022
License: CC BY
Data sources: ZENODO
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Excess Entropy Scaling in Supercooled Ternary Metallic Mixtures

Authors: Áron Kuna; Su Mei Gwen Ho;

Excess Entropy Scaling in Supercooled Ternary Metallic Mixtures

Abstract

The folder contains the results from the simulations; for some of the mixtures the python start file is included. The Jupyter notebook files were used to make the plots in our report. The csv files in the main folder contain the most important results. The files "binary_results.csv" and "single_results.csv" were taken from the research paper: "Excess-entropy scaling in supercooled binary mixtures" I. H. Bell, J. C. Dyre, and T. S. Ingebrigtsen (Nature communications) The dataset includes the results organized the following way: Mixture -> density -> "simfiles" -> temperature -> run-number -> results of the simulation In order to use the Jupyter notebooks, the file paths may have to be updated. Let us know if you find the results useful or have suggestions for us.

{"references": ["I. H. Bell, J. C. Dyre, and T. S. Ingebrigtsen. Excess-entropy scaling in supercooled binary mixtures (Nature communications)"]}

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Keywords

excess entropy, Roskilde, ternary mixtures, entropy scaling, simulations, physics, molecular dynamics, rosenfeld

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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